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DBMS > Google BigQuery vs. JaguarDB vs. Microsoft Azure Table Storage vs. SQLite

System Properties Comparison Google BigQuery vs. JaguarDB vs. Microsoft Azure Table Storage vs. SQLite

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonJaguarDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonSQLite  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesPerformant, highly scalable DBMS for AI and IoT applicationsA Wide Column Store for rapid development using massive semi-structured datasetsWidely used embeddable, in-process RDBMS
Primary database modelRelational DBMSKey-value storeWide column storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score36.00
Rank#24  Overall
#15  Relational DBMS
Score0.05
Rank#313  Overall
#49  Key-value stores
Score5.28
Rank#70  Overall
#5  Wide column stores
Score121.89
Rank#9  Overall
#6  Relational DBMS
Websitecloud.google.com/­bigquerywww.datajaguar.comazure.microsoft.com/­en-us/­services/­storage/­tableswww.sqlite.org
Technical documentationcloud.google.com/­bigquery/­docswww.datajaguar.com/­support.phpwww.sqlite.org/­docs.html
DeveloperGoogleDataJaguar, Inc.MicrosoftDwayne Richard Hipp
Initial release2010201520122000
Current release2.9.4 September 20183.34.0 (December 1, 2020), December 2020
License infoCommercial or Open SourcecommercialOpen Source infoGPL V3.0commercialOpen Source infoPublic Domain
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ infothe server part. Clients available in other languagesC
Server operating systemshostedLinuxhostedserver-less
Data schemeyesyesschema-freeyes infodynamic column types
Typing infopredefined data types such as float or dateyesyesyesyes infonot rigid because of 'dynamic typing' concept.
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononono
Secondary indexesnoyesnoyes
SQL infoSupport of SQLyesA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersnoyes infoSQL-92 is not fully supported
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP APIADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptnonono
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying datanooptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infovia file-system locks
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) for whole datasets, not for individual tables infoGoogle Cloud Identity & Access Management (IAM)rights management via user accountsAccess rights based on private key authentication or shared access signaturesno
More information provided by the system vendor
Google BigQueryJaguarDBMicrosoft Azure Table StorageSQLite
Specific characteristicsSQL support, group by, order by, join
» more
Competitive advantagesExtremely easy to scale-out (in seconds) 100,000 times faster
» more
Typical application scenariosIoT data, time series data, AI data. Any type of numerical data.
» more
Key customersQuantea, 2PiDay, Synqy, SinoLogistics, IIVI
» more
Market metricsAdvertising awareness, installed base, brand image, market share
» more
Licensing and pricing modelsFree-trial license, per-node license, and subscription license.
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
» more
Navicat for SQLite is a powerful and comprehensive SQLite GUI that provides a complete set of functions for database management and development.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Google BigQueryJaguarDBMicrosoft Azure Table StorageSQLite
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